Search Results for "sql data generator"

...CloudQuery supports the TimescaleDB PostgreSQL extension, giving you full historical snapshots of your cloud asset inventory. Data analysis, security, auditing, and compliance. Leverage SQL to get visibility into your cloud infrastructure and SaaS applications. Build a cloud-asset inventory across any of our supported official or community providers.

CockroachDB is an SQL database designed for global cloud services. It delivers resilient, consistent, distributed SQL at your scale thanks in large part to its unique self-organizing and self-healing architecture. It is able to scale horizontally, survive all kinds of failures with minimal latency disruption and zero manual intervention, and supports strongly-consistent ACID transactions. All this while providing a familiar SQL API.

docker-gen is a file generator that renders templates using docker container meta-data. Centralized logging - fluentd, logstash or other centralized logging tools that tail the containers JSON log file or files within the container. Log Rotation - logrotate files to rotate container JSON log files. Reverse Proxy Configs - nginx, haproxy, etc. reverse proxy configs to route requests from the host to containers.

The Go Cloud Development Kit (Go CDK) allows Go application developers to seamlessly deploy cloud applications on any combination of cloud providers. It does this by providing stable, idiomatic interfaces for common uses like storage and databases. Think database/sql for cloud products. The project works well with a code generator called Wire. It creates human-readable code that only imports the cloud SDKs for services you use. This allows the Go CDK to grow to support any number of cloud services, without increasing compile times or binary sizes, and avoiding any side effects from init() functions. ...

flog is a fake log generator built in Go that produces realistic log entries in several common formats, including Apache common, Apache combined, Apache error, RFC3164, RFC5424, and JSON. It was created to help developers and operators test systems that consume log data, such as log pipelines, SIEMs, or streaming platforms like Amazon Kinesis. Users can control the output by specifying the log format, output file path, log type (stdout, plain log file, or gzip-compressed file), and either the number of lines or the total byte size of logs to generate. ...